EPRI New Build CM Initiatives
Bob Renuart
Russell Adams
EPRI Technical Consultants
2© 2010 Electric Power Research Institute, Inc. All rights reserved.
EPRI ADVANCED NUCLEAR TECHNOLOGY
Bob Renuart (for Ken Barry)
3© 2010 Electric Power Research Institute, Inc. All rights reserved.
EPRI ANT Projects Supporting CM
• Development of an Acceptance Methodology for Commercial Two- and Three-Dimensional Plant Modeling Software
• Benchmarking other industries on the Cost and Benefit of transitioning to a Data-Centric Configuration Management Information System
• Development of a Standardized Plant Information Model (the Primary focus for Today’s Discussion)
4© 2010 Electric Power Research Institute, Inc. All rights reserved.
Current 2013 ANT Membership Breakdown
5© 2010 Electric Power Research Institute, Inc. All rights reserved.
DEVELOPMENT OF AN ACCEPTANCE METHODOLOGY FOR COMMERCIAL TWO- AND THREE-DIMENSIONAL PLANT MODELING SOFTWARE
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Objective
• Identify a Commercial Grade Dedication methodology for an Owner-Operator to use in accepting commercial 2D & 3D design and modeling software tools and databases and maintaining them for the plant lifetime.
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Status
• EPRI Contracted with MPR Associates to get input from End Users (Utilities) and Solution Providers.
• MPR Proposed a Commercial Grade Dedication Methodology based on another EPRI program on CGD of Software used in Nuclear Power Applications.
• Next Step is to Trial the Proposed CGD methodology with a Solution Provider, e.g., Intergraph, Bentley, AVEVA, to evaluate the cost to implement.
8© 2010 Electric Power Research Institute, Inc. All rights reserved.
UNDERSTAND THE COSTS OF MOVING TO A DATA CENTRIC CONFIGURATION MANAGEMENT INFORMATION SYSTEM
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Project Description
• EPRI Board has requested better understanding of the conversion cost vs. the benefits of a data-centric CMIS experienced by other high risk, high consequence industries.
• Hypothesis: A “data-centric” CM system will support a variety of plant activities with reliable, controlled data to make critical plant decisions– the “single source of truth”.
• Need to define the cost of installing and maintaining a data-centric system.
• Need to define the savings that a data-centric system will provide in knowledge management and process improvement
10© 2010 Electric Power Research Institute, Inc. All rights reserved.
Status
• Benchmarked Solution Providers– Intergraph– Bentley– Siemens
• Plan to Benchmark Operating Plants (As-Is Data)– Callaway - Done– McGuire– VC Summer Unit 1
• Plan to Benchmark other Industries that have Transitioned– Oil and Gas Offshore Platforms– Defense– Aerospace– High Speed Railway
• Project Scheduled Completion first half 2014
11© 2010 Electric Power Research Institute, Inc. All rights reserved.
EPRI STANDARDIZED PLANT INFORMATION MODEL
Bob Renuart and Russell Adams
12© 2010 Electric Power Research Institute, Inc. All rights reserved.
EPRI PIM Model History
• 1987: EPRI Technical Report - Guidelines for Specifying Integrated Computer-Aided Engineering Applications for Electric Power Plants
– Findings Demonstrated Need for a Plant Data Model
• 2010: Developed Plant Information Network (PIN) Study Model
• 2011: Updated PIN Study Model to Modern Plant Information Model (PIM)
• 2012: Incorporated Handover and Configuration Management Frameworks
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EPRI PIM Model Today Thinking Forward
• Evolving Open Source Standard for Handover
– IncorporatingoStandard Handover Framework oCM Taxonomy and Relationship Framework
• Leverages other Industry Initiatives
• Adheres to International Information Standards
• Eighty (80) Percent usable by US NNPP Projects and adoptable by Non-US NNPP Projects
• Supports Implementation for World Class Configuration Management and Information Handover Solutions
14© 2010 Electric Power Research Institute, Inc. All rights reserved.
Achieving Excellence in Configuration Management and Information Handover
– Leverage Automation for CMIS
– Data Centric CM Environment
– CM Taxonomy Model with Standard Relationships
– Requirements Management Tractability
– Standard Handover/Turnover Representation of Documents and Data
15© 2010 Electric Power Research Institute, Inc. All rights reserved.
Achieving Excellence in Configuration Management and Information Handover
– Leverage Automation for CMIS
– Data Centric CM Environment
– CM Taxonomy Model with Standard Relationships
– Requirements Management Traceability
– Standard Handover/Turnover Representation of Documents and Data
16© 2010 Electric Power Research Institute, Inc. All rights reserved.
Plant
Docs
Plant
DocsPhysical
Plant
Physical
Plant
Work Processes must assure that:Elements conform all the time
All changes are authorized
Conformance can be verified
Design
Basis
Nuclear Configuration Management
Design Requirements
“What needs to be there”
Facility Configuration Information
“What we say is there”
Physical
Configuration
“What is actually there”
Confo
rmConform
Conform
Configuration Management
17© 2010 Electric Power Research Institute, Inc. All rights reserved.
PlantDocumentation
Confo
rmConform
Conform PDPDASAS
Knowledge Workers
Automation Systems
EDB
Challe
nge Challenge
Challenge
Paper-based
Quality Assurance
Process
Lots of Tribal Knowledge , Semi-Connected and Disconnected Systems, Manual Processes and yes……Paper
Why Better Leverage of Automation
Nuclear Configuration Management
18© 2010 Electric Power Research Institute, Inc. All rights reserved.
Achieving Excellence in Configuration Management and Information Handover
– Leverage Automation for CMIS
– Data Centric CM Environment
– CM Taxonomy Model with Standard Relationships
– Requirements Management Traceability
– Standard Handover/Turnover Representation of Documents and Data
– Identify, Control and Manage Margins
19© 2010 Electric Power Research Institute, Inc. All rights reserved.
CMIS Is a Data Hub Along with EAM and Records Management
19
20© 2010 Electric Power Research Institute, Inc. All rights reserved.
What Does it Mean to be Data Centric?
• Level 1 – Key Design Basis Data (MEL) is Managed in the Work Control System and Updated through a Change Control Process.
• Level 2 – In addition to Design Basis Data, Data to Manage Engineering and Regulatory Programs, Equipment Reliability, and Data Embedded in Engineering, Maintenance, and Operating Procedures are Integrated in a “Single Source of Truth” with Primary Plant Processes and Authoring Tools affecting Plant Configuration and Updated through a Change Control Process.
• Level 3 – Level 2 plus Data is Exposed thorough Embedded Decision Making Tables in the Change Control and Design Control Processes, e.g., Operability Determinations, Equivalency Evaluations, Commercial Grade Dedications.
21© 2010 Electric Power Research Institute, Inc. All rights reserved.
Relationship Data Structure
21
Pump Properties
•Safety Class
•Des Disch Press
•Des Flowrate
•NPSH
Room Properties
•Normal Temp, Humid
•Accident Temp, Humid
•Rad Levels
Location:
VS-2
Bldg 12
Room 12561
P&ID Drawing:
VS2-CCS-M6-001
CCS Pump
VS2-CCS-MP-01A
IST Program
•Test Freq
•Test Method
•Test Parameters
•Test Results
Maint Rule Properties
•MR Questions
•MR Type
ER Program Properties
•ER Class
•Failure Mode
•Duty Cycle
EQ Properties
•EQ Flag
•Qualification Method
EQ Program
MR Program
IST Program
ER Program
22© 2010 Electric Power Research Institute, Inc. All rights reserved.
Some Comparisons between Level 1 and 2
• Component Properties– Level 1 manages 25-200 Component Properties– Level 2 manages >1500 Component Properties
• Relationships– Level 1 typically manages Data in Tables– Level 2 manages data as Objects with Properties that can
be related to other Objects. The Advantage is the ability to leverage these relationships for:• Design Impact Reviews• Margin Management • Determining Impact of “Hold Points” on downstream
dependencies• Knowledge
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Level 3 Leverages the Data to make Decisions in the Plant Processes
• Operability Determinations
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Margin Management Model
High Risk of Failure
Design Margin
Full Qualification
Analytical Margin
Ongoing IST Trend
Actual
Capability
24
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Level 3 Leverages the Data to make Decisions in the Plant Processes
• Operability Determinations
• Equivalency Evaluations
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Equivalency Evaluation
26
Attribute or Characteristic
Required Value
OriginalEquipment or Configuration
Values
ReplacementEquipment or Configuration
Values
Evaluation Results
Set-Point Range
25–35 psi 10–100 psi 10–100 psi Meets requirements
Pressure Rating/ Proof Pressure
1800 psi/NA 3000/250 psi 3000/250 psi Meets requirements
Instrument Accuracy
0.3% repeatability7 psi maximum deadband
0.25% repeatability5.1 psi deadband
0.25% repeatability5.2 psi deadband
Meetsrequirements, but need to update set-pointcalculation toreflect new deadband and model.
27© 2010 Electric Power Research Institute, Inc. All rights reserved.
Equivalency Evaluation
27
Attribute or Characteristic
Required Value
OriginalEquipment or Configuration
Values
ReplacementEquipment or Configuration
Values
Evaluation Results
Material Compatibility with Primary Fluid
Material must not degrade orcorrode in contact with primary fluid.
Primary diaphragm is kapton polyimide with an ethylene propylene rubber O-ring seal.
Primary diaphragm is 316L Stainless Steel with awelded seal.
Meetsrequirements; 316L Stainless Steel isacceptable.
SeismicQualification Test Report
IEEE 344-1971 3 g horizontal 2 g vertical 5% damping Site response curve
CTE Test Report 1 777-82N-CRev. 1
CTE Test Report 1 777-82N-CRev. 1
Meets requirements; qualification maintained based on AOB document8200-800.
Environmental Qualification Test Report
IEEE 323-1974 120oF maximum 95% humidity105 rad TAD
CTE Test Report 1777-82N-DRev. 3
CTE Test Report 1777-82N-DRev. 3
Meetsrequirements; qualification maintained based on AOB document8200-800.
28© 2010 Electric Power Research Institute, Inc. All rights reserved.
Level 3 Leverages the Data to make Decisions in the Plant Processes
• Operability Determinations
• Equivalency Evaluations
• Commercial Grade Determinations
• Margin Management
• Equipment Reliability
• Inservice Testing
• Flow Accelerated Corrosion
• The list goes on and on….
29© 2010 Electric Power Research Institute, Inc. All rights reserved.
Achieving Excellence in Configuration Management and Information Handover
– Leverage Automation for CMIS
– Data Centric CM Environment
– CM Taxonomy Model with Standard Relationships
– Requirements Management Traceability
– Standard Handover/Turnover Representation of Documents and Data
30© 2010 Electric Power Research Institute, Inc. All rights reserved.
30
Relationships connecting
Requirementsto the
Detailed Design Information
to the
Installed Information that Describes and Validates the
Installed Asset
CM Taxonomy with Standard Relationships
31© 2010 Electric Power Research Institute, Inc. All rights reserved.
Achieving Excellence in Configuration Management and Information Handover
– Leverage Automation for CMIS
– Data Centric CM Environment
– CM Taxonomy Model with Standard Relationships
– Requirements Management Traceability
– Standard Handover/Turnover Representation of Documents and Data
32© 2010 Electric Power Research Institute, Inc. All rights reserved.
PDF files
Excel Spread Sheets
DrawingsCalculations
SpecificationsData Sheets
Tagtagdesc
docnumberdpressdtempDcode
Supplier System
O/O System
DrawingsCalculations
Specificationstag_numtag_descdoc_numdoc_rev
des_pressdes_tempdes_code
PDF files
Excel Spread Sheets
Handover/Turnover
Current State Handover Processes
33© 2010 Electric Power Research Institute, Inc. All rights reserved.
PDF files
Excel Spread Sheets
DrawingsCalculations
SpecificationsData Sheets
Tagtagdesc
docnumberdpressdtempDcode
Supplier System
O/O System
DrawingsCalculations
Specificationstag_numtag_descdoc_numdoc_rev
des_pressdes_tempdes_code
PDF files
Excel Spread Sheets
Documents ClassificationDesign Design Drawings
Mechanical P&IDs Flow Diagrams
ProcurementVendor Drawings Electrical Internal Wiring Diagrams Schematics
Data Objects and AttributesTag DescriptionData Sheet NumberDesign PressureDesign TemperatureDesign Code
PDF files
Excel Spread Sheets
PDF files
Excel Spread Sheets
WIP - PIM Handover Framework
34© 2010 Electric Power Research Institute, Inc. All rights reserved.
PDFsDrawings
CalculationsSpecificationsData Sheets
DataTag
tagdescdocnumber
dpressdtempDcode
Supplier System
O/O System
DrawingsCalculations
Specificationstag_numtag_descdoc_numdoc_rev
des_pressdes_tempdes_code
Documents ClassificationDesign Design Drawings
Mechanical P&IDs Flow Diagrams
ProcurementVendor Drawings Electrical Internal Wiring Diagrams Schematics
Data Objects and AttributesTag DescriptionData Sheet NumberDesign PressureDesign TemperatureDesign Code
PDF files
Excel Spread Sheets
PDF files
Excel Spread Sheets
Future State Normalizing to PIM Handover
35© 2010 Electric Power Research Institute, Inc. All rights reserved.
Design Design Drawings
Mechanical P&IDs
Flow Diagrams Procurement
Vendor Drawings Electrical
Internal Wiring Diagrams
SchematicsTag Description
Data Sheet NumberDesign Pressure
Design TemperatureDesign Code
O/O SystemDocuments Classification
Design Design Drawings
Mechanical P&IDs Flow Diagrams
ProcurementVendor Drawings Electrical Internal Wiring Diagrams Schematics
Data Objects and AttributesTag DescriptionData Sheet NumberDesign PressureDesign TemperatureDesign Code
PDF files
XML Schemas
PDF files
XML Schemas
PDFsDrawings
CalculationsSpecificationsData Sheets
DataTag
tagdescdocnumber
dpressdtempDcode
Supplier System
Future State Normalized to PIM Handover
36© 2010 Electric Power Research Institute, Inc. All rights reserved.
EPRI Desired End Results
• One source of controlled data that is consumed by multiple applications and changed from the one application that is the source of truth
• Data quality that can be confidently used by all• Data and Document Relationships as a design basis taxonomy to support configuration control of changes and operability determinations of the plant.
• Ability to manage as-designed, as-specified, as-built, and as-tested configurations of the plant.
• Access to data and documents via the 2D and 3D Models
• Electronic Delivery of Compliant, “as-built” Information for Smarter Operation and Maintenance
37© 2010 Electric Power Research Institute, Inc. All rights reserved.
EPRI PIM Model
Russell Adams Bob Renuart
EPRI Technical Consultant EPRI Technical Consultant
RHAdams Consulting Renuart Consulting
[email protected] [email protected]
Thank you
37
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